Fri 02.19.16
Fri 02.19.16
Fri 02.19.16
Fri 02.19.16
This project will focus on the development of the REDEX tool, a lightweight domain-specific tool for modeling programming languages useful for software development. Originally developed as an in-house tool for a small group of collaborating researchers, REDEX escaped the laboratory several years ago and acquired a dedicated user community; new users now wish to use it for larger and more complicated programming languages than originally envisioned. Using this framework, a programmer articulates a programming language model directly as a software artifact with just a little more effort than paper-and-pencil models. Next, the user invokes diagnostic tools to test a model’s consistency, explore its properties, and check general claims about it.
The NSF award for this project funds several significant improvements to REDEX: (1) a modular system that allows its users to divide up the work, (2) scalable performance so that researchers can deal with large models, and (3) improvements to its testing and error-detection system. The award also includes support for the education of REDEX’s quickly growing user community, e.g., support for organizing tutorials and workshops.
This project will focus on the development of the REDEX tool, a lightweight domain-specific tool for modeling programming languages useful for software development. Originally developed as an in-house tool for a small group of collaborating researchers, REDEX escaped the laboratory several years ago and acquired a dedicated user community; new users now wish to use it for larger and more complicated programming languages than originally envisioned. Using this framework, a programmer articulates a programming language model directly as a software artifact with just a little more effort than paper-and-pencil models. Next, the user invokes diagnostic tools to test a model’s consistency, explore its properties, and check general claims about it.
The NSF award for this project funds several significant improvements to REDEX: (1) a modular system that allows its users to divide up the work, (2) scalable performance so that researchers can deal with large models, and (3) improvements to its testing and error-detection system. The award also includes support for the education of REDEX’s quickly growing user community, e.g., support for organizing tutorials and workshops.
